blackcat201

I think one crucial part that everyone seems to have missed is that they replace the previous Gated MLA layers (Kimi K3) with DSA (K3.1) via post-training to reduce the inference cost. In theory it should lower the kv-cache pressure by a huge magnitude scale.

who says they aren't benchmaxxing?

I think the author need to rethink out of the box what's LLM routers in a traditional sense ( input in, route, output ) and move to think how a router would work in agentic workflow. See cognition Devin Fusion design.